Synchronize Motius benchmark navigation and publication metadata

README.md

@@ -1,5 +1,5 @@
 ---
-title: Instruction Editing Leaderboard
+title: Motion Editing · MotionFix Instructions
 emoji: 🎬
 colorFrom: green
 colorTo: yellow
@@ -9,5 +9,7 @@ pinned: false
 license: mit
 ---
 
+# Motion Editing · MotionFix Instructions
+
 Static MotionFix benchmark generated by
 `scripts/eval/build_instruction_editing_leaderboard.py`.

index.html

@@ -4,7 +4,7 @@
   <meta charset="utf-8">
   <meta name="viewport" content="width=device-width, initial-scale=1">
   <link rel="icon" href="data:,">
-  <title>Instruction Editing Leaderboard</title>
+  <title>Motion Editing · MotionFix Instructions · Motius</title>
   <style>
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@@ -17,18 +17,157 @@
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+<!-- motius-benchmark-nav-style:start -->
+<style id="motius-benchmark-nav-style">
+  .motius-benchmark-nav {
+    position: relative;
+    z-index: 1000;
+    display: flex;
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+    gap: 16px;
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+    }
+  }
+</style>
+<!-- motius-benchmark-nav-style:end -->
 </head>
-<body>
+<body data-benchmark-id="motion_editing_motionfix">
   <div class="shell">
-    <nav class="leaderboard-nav" aria-label="Motius leaderboards">
-      <span class="nav-label">Leaderboards</span>
-      <a class="nav-link" href="https://huggingface.co/spaces/ZeyuLing/t2m-humanml3d-leaderboard">T2M HumanML3D</a>
-      <a class="nav-link" href="https://huggingface.co/spaces/ZeyuLing/temporal-condition-leaderboard">Temporal Condition</a>
-      <a class="nav-link" href="https://huggingface.co/spaces/ZeyuLing/babel-sequential-generation-leaderboard">BABEL Sequential</a>
-      <a class="nav-link" href="https://huggingface.co/spaces/ZeyuLing/instruction-editing-leaderboard" aria-current="page">Instruction Editing</a>
-    </nav>
+    <!-- motius-benchmark-nav:start -->
+<nav class="motius-benchmark-nav" data-benchmark-id="motion_editing_motionfix" aria-label="Motius benchmark navigation">
+  <a class="motius-benchmark-brand" href="https://github.com/ZeyuLing/Motius/tree/main/docs/leaderboards" target="_blank" rel="noopener noreferrer">Motius Benchmark Hub</a>
+  <span class="motius-benchmark-context">Motion Editing · MotionFix Instructions</span>
+  <details class="motius-benchmark-menu">
+    <summary>All benchmarks</summary>
+    <div class="motius-benchmark-list">
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/t2m-humanml3d-leaderboard"><span>Text-to-Motion · HumanML3D</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/t2m-unitree-g1-leaderboard"><span>Text-to-Motion · Unitree G1</span><span class="motius-benchmark-status" data-status="metrics_complete">Metrics ready</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/m2t-humanml3d-leaderboard"><span>Motion-to-Text · HumanML3D</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/babel-sequential-generation-leaderboard"><span>Sequential Text-to-Motion · BABEL</span><span class="motius-benchmark-status" data-status="metrics_complete">Metrics ready</span></a>
+      <a class="motius-benchmark-link" href="https://github.com/ZeyuLing/Motius/blob/main/docs/leaderboards/text_to_multi_person_interhuman.md"><span>Text-to-Multi-Person Motion · InterHuman</span><span class="motius-benchmark-status" data-status="protocol_only">Protocol</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/temporal-condition-leaderboard"><span>Temporal Motion Completion · HumanML3D</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://github.com/ZeyuLing/Motius/blob/main/docs/leaderboards/kinematic_motion_control.md"><span>Kinematic Motion Control · Native-Skeleton Protocol</span><span class="motius-benchmark-status" data-status="protocol_only">Protocol</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/body-part-condition-humanml3d-leaderboard"><span>Part-Level Motion Control · HumanML3D</span><span class="motius-benchmark-status" data-status="metrics_complete">Metrics ready</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/motion-edit-leaderboard"><span>Motion Editing · Style and Content</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/instruction-editing-leaderboard" aria-current="page"><span>Motion Editing · MotionFix Instructions</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://github.com/ZeyuLing/Motius/blob/main/docs/leaderboards/README.md#motion-repair-fixed-support-protocol"><span>Motion Repair · Fixed-Support Protocol</span><span class="motius-benchmark-status" data-status="protocol_only">Protocol</span></a>
+      <a class="motius-benchmark-link" href="https://github.com/ZeyuLing/Motius/blob/main/docs/leaderboards/README.md#motion-reconstruction-humanml3d"><span>Motion Reconstruction · HumanML3D</span><span class="motius-benchmark-status" data-status="protocol_only">Protocol</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/music-to-dance-aistpp-leaderboard"><span>Music-to-Dance · AIST++</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/dance-to-music-aistpp-leaderboard"><span>Dance-to-Music · AIST++</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/speech-to-gesture-beat2-leaderboard"><span>Speech-to-Gesture · BEAT2</span><span class="motius-benchmark-status" data-status="complete">Complete</span></a>
+      <a class="motius-benchmark-link" href="https://huggingface.co/spaces/ZeyuLing/monocular-motion-capture-leaderboard"><span>Monocular Motion Capture · 3DPW Test</span><span class="motius-benchmark-status" data-status="paused">Paused</span></a>
+    </div>
+  </details>
+</nav>
+<!-- motius-benchmark-nav:end -->
     <header>
-      <div class="title-row"><div><h1>Instruction Editing Leaderboard</h1><p class="lede">MotionFix official test benchmark for editing a supplied source motion with a free-form instruction. Every method is converted to the same nominal-30fps HML263 representation and evaluated against the paired target with MotionLab's released text_mot_match motion encoder.</p></div><div class="header-actions"><span class="status-chip">Native Batch-32 paired-target protocol</span><a class="audit-link" href="#qualitative">Inspect motions</a></div></div>
+      <div class="title-row"><div><h1>Motion Editing · MotionFix Instructions</h1><p class="lede">MotionFix official test benchmark for editing a supplied source motion with a free-form instruction. Every method is converted to the same nominal-30fps HML263 representation and evaluated against the paired target with MotionLab's released text_mot_match motion encoder.</p></div><div class="header-actions"><span class="status-chip">Native Batch-32 paired-target protocol</span><a class="audit-link" href="#qualitative">Inspect motions</a></div></div>
       <div class="badges"><span class="badge">MotionFix official test</span><span class="badge">1,013 source–instruction–target triplets</span><span class="badge">Nominal 30 fps</span><span class="badge">MotionLab text_mot_match evaluator</span><span class="badge">Target-length-sorted Batch-32 galleries</span></div>
     </header>
     <div class="summary"><div class="summary-item"><div class="value" id="method-count">0</div><div class="label">Measured methods</div></div><div class="summary-item"><div class="value">1,013</div><div class="label">Paired test cases</div></div><div class="summary-item"><div class="value">R@3₃₂</div><div class="label">Displayed rank metric</div></div><div class="summary-item"><div class="value" id="audit-count">5</div><div class="label">Six-way audit cases</div></div></div>
@@ -39,7 +178,7 @@
     <footer>Protocol and implementation: <a href="https://github.com/ZeyuLing/Motius">ZeyuLing/Motius</a>. MotionFix benchmark and released baseline implementations are evaluated through the shared canonical adapter.</footer>
   </div>
   <script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.7/dist/chart.umd.min.js"></script>
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instruction_editing_results.json

@@ -0,0 +1,136 @@
+{
+  "title": "Motion Editing · MotionFix Instructions",
+  "updated": "2026-07-22",
+  "dataset": "MotionFix official test",
+  "count": 1013,
+  "evaluator": "MotionLab native text_mot_match evaluator",
+  "protocol": {
+    "input": "source motion + free-form edit instruction",
+    "target": "paired MotionFix target motion",
+    "fid": "MotionLab native motion-embedding FID",
+    "batch_retrieval": "target-length-sorted candidate batches of 32",
+    "rank_by": "Displayed measured Batch-32 R@3 rank; asterisk marks rows excluded from formal paper ranking",
+    "protocol_revision": "motionfix_motionlab_native_batch32_v1"
+  },
+  "metrics": [
+    "FID",
+    "R@1",
+    "R@2",
+    "R@3",
+    "AvgR",
+    "M2M-Dist",
+    "Diversity"
+  ],
+  "rows": [
+    {
+      "method": "MotionCanvas",
+      "method_id": "motioncanvas",
+      "input": "source motion + instruction",
+      "native_representation": "SMPL-22 motion135",
+      "coverage": "1013/1013",
+      "status": "contaminated",
+      "ranked": false,
+      "metrics": {
+        "FID": 0.03266168544926269,
+        "R@1": 80.15794669299112,
+        "R@2": 92.79368213228035,
+        "R@3": 95.95261599210266,
+        "AvgR": 1.4274432379072064,
+        "M2M-Dist": 0.7901288866996765,
+        "Diversity": 8.281886100769043
+      },
+      "contamination_note": "Training annotation contains 1,000/1,013 MotionFix test pairs with identical source and target motion content.",
+      "artifact": "outputs/evaluation/motion_edit/instruction_editing/motionfix_test/smplh_joints66/motioncanvas",
+      "rank": null,
+      "measured_rank": 1
+    },
+    {
+      "method": "SimMotionEdit",
+      "method_id": "simmotionedit",
+      "input": "source motion + instruction",
+      "native_representation": "MotionFix motion135",
+      "coverage": "1013/1013",
+      "status": "complete",
+      "ranked": true,
+      "metrics": {
+        "FID": 0.49990421643938365,
+        "R@1": 40.473840078973346,
+        "R@2": 59.526159921026654,
+        "R@3": 69.79269496544916,
+        "AvgR": 4.027640671273446,
+        "M2M-Dist": 2.4369125366210938,
+        "Diversity": 7.819880485534668
+      },
+      "contamination_note": null,
+      "artifact": "outputs/evaluation/motion_edit/instruction_editing/motionfix_test/smplh_joints66/simmotionedit",
+      "rank": 2,
+      "measured_rank": 3
+    },
+    {
+      "method": "MotionFix (TMED)",
+      "method_id": "motionfix_tmed",
+      "input": "source motion + instruction",
+      "native_representation": "MotionFix motion135",
+      "coverage": "1013/1013",
+      "status": "complete",
+      "ranked": true,
+      "metrics": {
+        "FID": 0.5282222533812915,
+        "R@1": 32.477788746298124,
+        "R@2": 48.76604146100691,
+        "R@3": 59.82230997038499,
+        "AvgR": 5.3593287265547875,
+        "M2M-Dist": 3.197392225265503,
+        "Diversity": 7.886959552764893
+      },
+      "contamination_note": null,
+      "artifact": "outputs/evaluation/motion_edit/instruction_editing/motionfix_test/smplh_joints66/motionfix_tmed",
+      "rank": 3,
+      "measured_rank": 4
+    },
+    {
+      "method": "MotionLab",
+      "method_id": "motionlab",
+      "input": "source motion + instruction",
+      "native_representation": "HumanML3D 263D",
+      "coverage": "1013/1013",
+      "status": "complete",
+      "ranked": true,
+      "metrics": {
+        "FID": 0.1339166069304245,
+        "R@1": 46.10069101678184,
+        "R@2": 63.079960513326746,
+        "R@3": 73.14906219151037,
+        "AvgR": 3.753208292201382,
+        "M2M-Dist": 2.41121768951416,
+        "Diversity": 8.180389404296875
+      },
+      "contamination_note": null,
+      "artifact": "outputs/evaluation/motion_edit/instruction_editing/motionfix_test/smplh_joints66/motionlab",
+      "rank": 1,
+      "measured_rank": 2
+    },
+    {
+      "method": "Source input (no edit)",
+      "method_id": "source_input",
+      "input": "source motion only",
+      "native_representation": "SMPL-22 motion135",
+      "coverage": "1013/1013",
+      "status": "complete",
+      "ranked": false,
+      "metrics": {
+        "FID": 0.10658133437839573,
+        "R@1": 46.396841066140176,
+        "R@2": 65.25172754195458,
+        "R@3": 75.02467917077986,
+        "AvgR": 3.5054294175715697,
+        "M2M-Dist": 2.281679153442383,
+        "Diversity": 8.198084831237793
+      },
+      "contamination_note": null,
+      "artifact": "outputs/evaluation/motion_edit/instruction_editing/motionfix_test/smplh_joints66/source_input",
+      "rank": null,
+      "measured_rank": null
+    }
+  ]
+}

smpl_viewer.js

@@ -253,8 +253,13 @@ async function loadCase(index) {
   const metadata = caseIndex.cases[index];
   let payload = caseCache.get(index);
   if (!payload) {
+    const caseUrl = new URL(
+      metadata.path,
+      caseIndex.asset_base_url || window.location.href,
+    );
+    caseUrl.searchParams.set("v", caseIndex.revision);
     const response = await fetch(
-      `${metadata.path}?v=${encodeURIComponent(caseIndex.revision)}`,
+      caseUrl,
     );
     if (!response.ok) throw new Error(`case HTTP ${response.status}`);
     payload = await response.json();